Comparison results of ablation experiments. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Table of dataset division. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Striking image. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Precision, recall, F1-Score curve. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Model comparison experimental results. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Improved YOLOv10 network structure. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Loss function variation curve. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Different model detection results comparison. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Inner-IoU. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

The long-term <i>in vitro</i> surrogate bacterial viability of canine and feline FMT products frozen at -80°C for six months. by Nina K. Randolph (21030732)

Stepped wedge cluster randomized trial design. by Antonio Marty Quispe (12574259)

“…We aimed to assess the effectiveness of ceiling-mounted mosquito nets in reducing Anopheles mosquito density in a high-transmission Amazonian setting. We conducted a stepped-wedge cluster-randomized trial from March to December 2024 in the Llanchama community of the San Juan Bautista district, Loreto, Peru. …”

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

CONSORT diagram of the study. by Plaiwan Suttanon (4741197)

“…The control group showed a significant increase in COM angle sway excursion (lateral direction) (p = 0.011, d = 0.27, 95% CI [-0.19, 0.74]) and a decrease in TMT-A time (p = 0.031, d = 0.38, 95% CI [-0.09, 0.85]). …”

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…The preoperative IOP was 15.06 ± 3.51 mmHg and significantly reduced to 12.22 ± 2.23 mmHg at 3 months and 12.99 ± 2.45 mmHg at 12 months. …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…The preoperative IOP was 15.06 ± 3.51 mmHg and significantly reduced to 12.22 ± 2.23 mmHg at 3 months and 12.99 ± 2.45 mmHg at 12 months. …”

Evaluation results. by Briya Tariq (19666901)

“…Three sets of scans were acquired: with aluminium, with stainless steel, and without a metal insert as a reference dataset. …”

Dataset with steel insert. by Briya Tariq (19666901)

“…Three sets of scans were acquired: with aluminium, with stainless steel, and without a metal insert as a reference dataset. …”

Reference dataset. by Briya Tariq (19666901)

“…Three sets of scans were acquired: with aluminium, with stainless steel, and without a metal insert as a reference dataset. …”

Dataset with aluminium insert. by Briya Tariq (19666901)

“…Three sets of scans were acquired: with aluminium, with stainless steel, and without a metal insert as a reference dataset. …”